Hybrid Random Forest Survival Model to Predict Customer Membership Dropout
Dropout prediction is a problem that must be addressed in various organizations, as retaining customers is generally more profitable than attracting them. Existing approaches address the problem considering a dependent variable representing dropout or non-dropout, without considering the dynamic per...
Main Authors: | Pedro Sobreiro, José Garcia-Alonso, Domingos Martinho, Javier Berrocal |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/20/3328 |
Similar Items
-
Student dropout in primary and secondary education in the Republic of Serbia
by: Krstić Ksenija, et al.
Published: (2017-01-01) -
<inline-formula> <tex-math notation="LaTeX">$\beta$ </tex-math></inline-formula>-Dropout: A Unified Dropout
by: Lei Liu, et al.
Published: (2019-01-01) -
Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks
by: Christos Avgerinos, et al.
Published: (2023-01-01) -
Keeping students in school : a guide to effective dropout prevention programs and services /
by: 362724 Orr, Margaret Terry
Published: (1987) -
Psychometric properties of a dropout prediction tool for students in Andalusia
by: Antonio Hernández-Fernández, et al.
Published: (2023-07-01)